Open Access
Issue
E3S Web Conf.
Volume 447, 2023
The 15th of Aceh International Workshop and Expo on Sustainable Tsunami Disaster Recovery (The 15th AIWEST-DR 2023)
Article Number 01001
Number of page(s) 7
Section Hazard, Technology, and Infrastructure
DOI https://doi.org/10.1051/e3sconf/202344701001
Published online 13 November 2023
  1. N. Peiris, ‘Vulnerability functions for tsunami loss estimation’, in First European conference on earthquake engineering and seismology, Geneva, Switzerland, Feb. 2006, pp. 3-8. [Google Scholar]
  2. W. J. Cousins, M. Nayyerloo, R. J. Van Dissen, and G. N. S. Science, ‘Estimated earthquake and tsunami losses from large earthquakes affecting Wellington Region’, 2014. [Google Scholar]
  3. K. Goda and R. De Risi, ‘Probabilistic tsunami loss estimation methodology: Stochastic earthquake scenario approach’, Earthquake Spectra, vol. 33, no. 4, 2017, DOI: 10.1193/012617EQS019M. [Google Scholar]
  4. E. Lahcene et al., ‘Characteristics of building fragility curves for seismic and non-seismic tsunamis: case studies of the 2018 Sunda Strait, 2018 Sulawesi-Palu, and 2004 Indian Ocean tsunamis’, Natural Hazards and Earth System Sciences, vol. 21, no. 8, pp. 2313-2344, Aug. 2021, DOI: 10.5194/nhess-21-2313-2021. [CrossRef] [Google Scholar]
  5. A. Ruangrassamee, H. Yanagisawa, P. Foytong, P. Lukkunaprasit, S. Koshimura, and F. Imamura, ‘Investigation of Tsunami-Induced Damage and Fragility of Buildings in Thailand after the December 2004 Indian Ocean Tsunami’, Earthquake Spectra, vol. 22, no. 3_suppl, pp. 377–401, Jun. 2006, DOI: 10.1193/1.2208088. [CrossRef] [Google Scholar]
  6. S. Koshimura, Y. Namegaya, and H. Yanagisawa, ‘Tsunami Fragility — A New Measure to Identify Tsunami Damage —’, Journal of Disaster Research, vol. 4, no. 6, pp. 479–488, Dec. 2009, DOI: 10.20965/jdr.2009.p0479. [CrossRef] [Google Scholar]
  7. J. Macabuag and T. Rossetto, ‘Towards the Development of a Method for Generating Analytical Tsunami Fragility Functions’, 2nd European Conference on Earthquake Engineering and Seismology, 2014. [Google Scholar]
  8. R. Soetanto, F. Hermawan, A. Milne, J. U. D. Hatmoko, S. As’ad, and C. He, ‘Developing sustainable arrangements for “proactive” disaster risk financing in Java, Indonesia’, Int J Disaster Resi Buit Environ, vol. 11, no. 3, 2020, DOI: 10.1108/IJDRBE-01-2020-0006. [Google Scholar]
  9. Syamsidik, M. D. Al Farizi, Tursina, A. Yulianur, I. Rusydy, and A. Suppasri, ‘Assessing probability of building damages due to tsunami hazards coupled with characteristics of buildings in Banda Aceh, Indonesia: A way to increase understanding of tsunami risks’, International Journal of Disaster Risk Reduction, vol. 90, p. 103652, 2023, doi: https://doi.org/10.1016/j.ijdrr.2023.103652. [CrossRef] [Google Scholar]
  10. S. Doocy et al., ‘Tsunami mortality in Aceh Province, Indonesia’, Bull World Health Organ, vol. 85, no. 4, pp. 273–278, 2007, DOI: 10.2471/BLT.06.033308. [CrossRef] [PubMed] [Google Scholar]
  11. C. M. Rubin et al., ‘Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami’, Nat Commun, vol. 8, p. 16019, 2017, doi: https://doi.org/10.1038/ncomms16019. [CrossRef] [PubMed] [Google Scholar]
  12. X. Wang and P. L. F. Liu, ‘Numerical simulations of the 2004 Indian Ocean tsunamis-coastal effects’, Journal of Earthquake and Tsunami, vol. 1, no. 3, pp. 273–297, 2007, DOI: 10.1142/S179343110700016X. [CrossRef] [Google Scholar]
  13. J. J. Wijetunge, X. Wang, and P. L. F. Liu, ‘Indian Ocean Tsunami on December 26, 2004: numerical modeling of inundation in three cities on the south coast of Sri Lanka’, Journal of Earthquake and Tsunami, vol. 2, no. 2, pp. 133–155, 2009, DOI: 10.1142/S1793431108000293. [Google Scholar]
  14. H. Zhou, M. H. Teng, P. Lin, E. Gica, and K. Feng, ‘Predicting Run-Up of Breaking and Nonbreaking Long Waves by Applying the Cornell COMCOT Model’, in Nonlinear Wave Dynamics, P. Lynett, Ed., World Scientific, 2009, pp. 147-163. doi: https://doi.org/10.1142/9789812709042_0007. [CrossRef] [Google Scholar]
  15. X. Wang, ‘User Manual for Comcot Version 1.7’, 2009. [Google Scholar]
  16. Syamsidik, M. Al’Ala, H. M. Fritz, M. Fahmi, and T. Mudi Hafli, ‘Numerical simulations of the 2004 Indian Ocean tsunami deposits’ thicknesses and emplacements’, Natural Hazards and Earth System Sciences, vol. 19, no. 6, 2019, DOI: 10.5194/nhess-19-1265-2019. [Google Scholar]
  17. S. Koshimura, T. Oie, H. Yanagisawa, and F. Imamura, ‘Developing fragility functions for tsunami damage estimation using numerical model and post-tsunami data from banda aceh, Indonesia’, Coastal Engineering Journal, vol. 51, no. 3, pp. 243–273, 2009, DOI: 10.1142/S0578563409002004. [CrossRef] [Google Scholar]
  18. D. L. Wells and K. J. Coppersmith, ‘New Empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement’, Bulletin of the Seismological Society of America, vol. 84, no. 4, pp. 974–1002, 1994. [CrossRef] [Google Scholar]
  19. A. Suppasri, I. Charvet, K. Imai, and F. Imamura, ‘Fragility curves based on data from the 2011 Tohoku-oki tsunami in Ishinomaki city, with discussion of parameters influencing building damage’, Earthquake Spectra, vol. 31, no. 2, pp. 841–868, 2015. [CrossRef] [Google Scholar]
  20. A. Suppasri, E. Mas, S. Koshimura, K. Imai, K. Harada, and F. Imamura, ‘Developing Tsunami Fragility Curves from the Surveyed Data of the 2011 Great East Japan Tsunami in Sendai and Ishinomaki Plains’, Coastal Engineering Journal, vol. 54, no. 1, pp. 1250008-1-1250008-16, Mar. 2012, DOI: 10.1142/S0578563412500088. [Google Scholar]
  21. Tursina, Syamsidik, Kato, S., & Afifuddin, M. (2021). Coupling sea-level rise with tsunamis: Projected adverse impact of future tsunamis on Banda Aceh city, Indonesia. International Journal of Disaster Risk Reduction, 55, 102084. https://doi.org/10.1016/j.ijdrr.2021.102084 [CrossRef] [Google Scholar]
  22. Syamsidik, Nugroho, A., Oktari, R. S., & Fahmi, M. (2019). Aceh Pasca 15 Tahun Tsunami: Kilas Balik dan Proses Pemulihan. Tsunami and Disaster Mitigation Research Center (TDMRC) Universitas Syiah Kuala. (Original work published 2019) [Google Scholar]
  23. Azmeri, Mutiawati, C., Al-Huda, N., Mufiaty, H. Disaster Recovery Indicators of Housing Reconstruction: The story of post tsunami Aceh, Indonesia. International Journal of Disaster Management, 1(1), pp 35-45, 2017. [Google Scholar]

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